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Isolation of cancer-derived exosomes using a variety of magnetic nanostructures: from Fe3O4 nanoparticles to Ni nanowires

Abstract: Isolating and analyzing tumor-derived exosomes (TEX) can provide important information about the state of a tumor, facilitating early diagnosis and prognosis. Since current isolation methods are mostly laborious and expensive, we propose herein a fast and cost-effective method based on a magnetic nanoplatform to isolate TEX. In this work, we have tested our method using three magnetic nanostructures: (i) Ni magnetic nanowires (MNWs) (1500 × 40 nm), (ii) Fe3O4 nanorods (NRs) (41 × 7 nm), and (iii) Fe3O4 cube-octahedral magnetosomes (MGs) (45 nm) obtained from magnetotactic bacteria. The magnetic response of these nanostructures has been characterized, and we have followed their internalization inside canine osteosarcoma OSCA-8 cells. An overall depiction has been obtained using a combination of Fluorescence and Scanning Electron Microscopies. In addition, Transmission Electron Microscopy images have shown that the nanostructures, with different signs of degradation, ended up being incorporated in endosomal compartments inside the cells. Small intra-endosomal vesicles that could be precursors for TEX have also been identified. Finally, TEX have been isolated using our magnetic isolation method and analyzed with a Nanoparticle tracking analyzer (NanoSight). We observed that the amount and purity of TEX isolated magnetically with MNWs was higher than with NRs and MGs, and they were close to the results obtained using conventional non-magnetic isolation methods.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: Nanomaterials 2020, 10(9), 1662

Editorial: MDPI

 Fecha de publicación: 01/08/2020

Nº de páginas: 16

Tipo de publicación: Artículo de Revista

 DOI: 10.3390/nano10091662

ISSN: 2079-4991

 Proyecto español: MAT2017-83631-C3

Url de la publicación: https://doi.org/10.3390/nano10091662

Autoría

NEMATI, ZOHREH

ZAMANI KOUHPANJI, MOHAMMAD REZA

ZHOU, FANG

DAS, RAJA

MAKIELSKI, KELLY

UM, JOSEPH

PHAN, MANH-HUONG

MUELA, ALICIA

MARIA LUISA FERNANDEZ-GUBIEDA RUIZ

FRANKLIN, RHONDA R.

STADLER, BETHANIE J. H.

MODIANO, JAIME F.